How to convert python datetime to timestamp and insert in oracle database using to_sql











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I get DatabaseError: ORA-00904: "DAT_ULT_ALT": invalid identifier when I try to insert a datetime to a timestamp in oracle using to_sql from pandas with SQL Alchemy engine. My code:



import sqlalchemy as sa

import datetime

import itertools

...

oracle_db = sa.create_engine('oracle://username:password@host:port/database')

connection= oracle_db.connect()

...

dat_ult_alt = datetime.datetime.now()

df_plano['DAT_ULT_ALT'] = pd.Series(list(itertools.repeat(dat_ult_alt, max)))
df_plano.to_sql('table_name', connection, if_exists='append', index=False)


This code works to fields of type "Date" but does not work with fields of type "timestamp". Do you know what I need to do to convert dat_ult_alt to timestamp?










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    up vote
    0
    down vote

    favorite












    I get DatabaseError: ORA-00904: "DAT_ULT_ALT": invalid identifier when I try to insert a datetime to a timestamp in oracle using to_sql from pandas with SQL Alchemy engine. My code:



    import sqlalchemy as sa

    import datetime

    import itertools

    ...

    oracle_db = sa.create_engine('oracle://username:password@host:port/database')

    connection= oracle_db.connect()

    ...

    dat_ult_alt = datetime.datetime.now()

    df_plano['DAT_ULT_ALT'] = pd.Series(list(itertools.repeat(dat_ult_alt, max)))
    df_plano.to_sql('table_name', connection, if_exists='append', index=False)


    This code works to fields of type "Date" but does not work with fields of type "timestamp". Do you know what I need to do to convert dat_ult_alt to timestamp?










    share|improve this question


























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I get DatabaseError: ORA-00904: "DAT_ULT_ALT": invalid identifier when I try to insert a datetime to a timestamp in oracle using to_sql from pandas with SQL Alchemy engine. My code:



      import sqlalchemy as sa

      import datetime

      import itertools

      ...

      oracle_db = sa.create_engine('oracle://username:password@host:port/database')

      connection= oracle_db.connect()

      ...

      dat_ult_alt = datetime.datetime.now()

      df_plano['DAT_ULT_ALT'] = pd.Series(list(itertools.repeat(dat_ult_alt, max)))
      df_plano.to_sql('table_name', connection, if_exists='append', index=False)


      This code works to fields of type "Date" but does not work with fields of type "timestamp". Do you know what I need to do to convert dat_ult_alt to timestamp?










      share|improve this question















      I get DatabaseError: ORA-00904: "DAT_ULT_ALT": invalid identifier when I try to insert a datetime to a timestamp in oracle using to_sql from pandas with SQL Alchemy engine. My code:



      import sqlalchemy as sa

      import datetime

      import itertools

      ...

      oracle_db = sa.create_engine('oracle://username:password@host:port/database')

      connection= oracle_db.connect()

      ...

      dat_ult_alt = datetime.datetime.now()

      df_plano['DAT_ULT_ALT'] = pd.Series(list(itertools.repeat(dat_ult_alt, max)))
      df_plano.to_sql('table_name', connection, if_exists='append', index=False)


      This code works to fields of type "Date" but does not work with fields of type "timestamp". Do you know what I need to do to convert dat_ult_alt to timestamp?







      python oracle sqlalchemy timestamp pandas-to-sql






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      edited Nov 22 at 19:22

























      asked Nov 22 at 14:17









      Patricia Rocha Faria

      12




      12
























          1 Answer
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          Not sure about sqlalchemy as I have never used it with Oracle. Here's a sample code using Cx_Oracle which works.



          create table test ( tstamp TIMESTAMP);




          import cx_Oracle
          import datetime
          conn = cx_Oracle.connect('usr/pwd@//host:1521/db')
          cur = conn.cursor()
          dtime=datetime.datetime.now()
          cur.prepare( "INSERT INTO test(tstamp) VALUES(:ts)" )
          cur.setinputsizes(ts=cx_Oracle.TIMESTAMP)
          cur.execute(None, {'ts':dtime})
          conn.commit()
          conn.close()




          select * from test;

          TSTAMP
          ------------------------------
          22-11-18 09:14:19.422278000 PM





          share|improve this answer





















          • I appreciate your help, but I need a solution with sqlalchemy instead of cx_oracle so that I can insert the role dataframe with 3 millions rows to the oracle table at once, with one command to_sql(), so I cannot treat
            – Patricia Rocha Faria
            Nov 22 at 19:09













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          1 Answer
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          oldest

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          1 Answer
          1






          active

          oldest

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          active

          oldest

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          active

          oldest

          votes








          up vote
          0
          down vote













          Not sure about sqlalchemy as I have never used it with Oracle. Here's a sample code using Cx_Oracle which works.



          create table test ( tstamp TIMESTAMP);




          import cx_Oracle
          import datetime
          conn = cx_Oracle.connect('usr/pwd@//host:1521/db')
          cur = conn.cursor()
          dtime=datetime.datetime.now()
          cur.prepare( "INSERT INTO test(tstamp) VALUES(:ts)" )
          cur.setinputsizes(ts=cx_Oracle.TIMESTAMP)
          cur.execute(None, {'ts':dtime})
          conn.commit()
          conn.close()




          select * from test;

          TSTAMP
          ------------------------------
          22-11-18 09:14:19.422278000 PM





          share|improve this answer





















          • I appreciate your help, but I need a solution with sqlalchemy instead of cx_oracle so that I can insert the role dataframe with 3 millions rows to the oracle table at once, with one command to_sql(), so I cannot treat
            – Patricia Rocha Faria
            Nov 22 at 19:09

















          up vote
          0
          down vote













          Not sure about sqlalchemy as I have never used it with Oracle. Here's a sample code using Cx_Oracle which works.



          create table test ( tstamp TIMESTAMP);




          import cx_Oracle
          import datetime
          conn = cx_Oracle.connect('usr/pwd@//host:1521/db')
          cur = conn.cursor()
          dtime=datetime.datetime.now()
          cur.prepare( "INSERT INTO test(tstamp) VALUES(:ts)" )
          cur.setinputsizes(ts=cx_Oracle.TIMESTAMP)
          cur.execute(None, {'ts':dtime})
          conn.commit()
          conn.close()




          select * from test;

          TSTAMP
          ------------------------------
          22-11-18 09:14:19.422278000 PM





          share|improve this answer





















          • I appreciate your help, but I need a solution with sqlalchemy instead of cx_oracle so that I can insert the role dataframe with 3 millions rows to the oracle table at once, with one command to_sql(), so I cannot treat
            – Patricia Rocha Faria
            Nov 22 at 19:09















          up vote
          0
          down vote










          up vote
          0
          down vote









          Not sure about sqlalchemy as I have never used it with Oracle. Here's a sample code using Cx_Oracle which works.



          create table test ( tstamp TIMESTAMP);




          import cx_Oracle
          import datetime
          conn = cx_Oracle.connect('usr/pwd@//host:1521/db')
          cur = conn.cursor()
          dtime=datetime.datetime.now()
          cur.prepare( "INSERT INTO test(tstamp) VALUES(:ts)" )
          cur.setinputsizes(ts=cx_Oracle.TIMESTAMP)
          cur.execute(None, {'ts':dtime})
          conn.commit()
          conn.close()




          select * from test;

          TSTAMP
          ------------------------------
          22-11-18 09:14:19.422278000 PM





          share|improve this answer












          Not sure about sqlalchemy as I have never used it with Oracle. Here's a sample code using Cx_Oracle which works.



          create table test ( tstamp TIMESTAMP);




          import cx_Oracle
          import datetime
          conn = cx_Oracle.connect('usr/pwd@//host:1521/db')
          cur = conn.cursor()
          dtime=datetime.datetime.now()
          cur.prepare( "INSERT INTO test(tstamp) VALUES(:ts)" )
          cur.setinputsizes(ts=cx_Oracle.TIMESTAMP)
          cur.execute(None, {'ts':dtime})
          conn.commit()
          conn.close()




          select * from test;

          TSTAMP
          ------------------------------
          22-11-18 09:14:19.422278000 PM






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 22 at 15:50









          Kaushik Nayak

          17.1k41129




          17.1k41129












          • I appreciate your help, but I need a solution with sqlalchemy instead of cx_oracle so that I can insert the role dataframe with 3 millions rows to the oracle table at once, with one command to_sql(), so I cannot treat
            – Patricia Rocha Faria
            Nov 22 at 19:09




















          • I appreciate your help, but I need a solution with sqlalchemy instead of cx_oracle so that I can insert the role dataframe with 3 millions rows to the oracle table at once, with one command to_sql(), so I cannot treat
            – Patricia Rocha Faria
            Nov 22 at 19:09


















          I appreciate your help, but I need a solution with sqlalchemy instead of cx_oracle so that I can insert the role dataframe with 3 millions rows to the oracle table at once, with one command to_sql(), so I cannot treat
          – Patricia Rocha Faria
          Nov 22 at 19:09






          I appreciate your help, but I need a solution with sqlalchemy instead of cx_oracle so that I can insert the role dataframe with 3 millions rows to the oracle table at once, with one command to_sql(), so I cannot treat
          – Patricia Rocha Faria
          Nov 22 at 19:09




















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